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deep-reinforcement-learning x

26 search results found

Papers ⭐ 2,239

Summaries of machine learning papers

Awesome Deep Trading ⭐ 799

List of awesome resources for machine learning-based algorithmic trading

Neural Slam ⭐ 592

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Neural Symbolic Machines ⭐ 346

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Machine Learning Is All You Need ⭐ 337

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Deep Rl Trading ⭐ 248

playing idealized trading games with deep reinforcement learning

Tetris Ai ⭐ 125

A deep reinforcement learning bot that plays tetris

Deep Learning Papers Reading Roadmap ⭐ 122

深度学习论文阅读路线图

Machine Learning And Data Science ⭐ 119

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Awesome Deep Neuroevolution ⭐ 111

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Attention-guided CNN for image denoising(Neural Networks,2020)

Ml In Tf ⭐ 45

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Training Neural Networks For Event Based End To End Robot Control ⭐ 33

TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.

Alphastone ⭐ 18

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

SANNet Neural Network Framework

Awesome Ai Brain Computer Interface ⭐ 16

Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.

Paper Survey ⭐ 15

Recurrent Js ⭐ 14

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

Snake Reinforcement Dnn ⭐ 12

Developing a deep neural network to play a snake game

Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.

Implementations Nfq ⭐ 8

Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method

eve-mli: making learning interesting

Flying Ml Dl Ai ⭐ 7

Just to keep track of nice blog posts and new announcements related to machine learning, deep learning and artificial intelligence

Deep Learning ⭐ 7

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, soc

Deep Q Learning ⭐ 6

Deep Q-learning Neural Network using tensorflow

Meta_relational_a3c ⭐ 5

Meta learner A3C algorithm with a neural relational memory module

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